Company

About Us

Founded in early 2016, VoxelCloud offers automated medical image analysis algorithms and
end-to-end solutions to help doctors make clinical decisions in a more accurate,
accessible, and efficient way. VoxelCloud has offices in Los Angeles, USA, and Suzhou
and Shanghai in China. Until October 2017, VoxleCloud has raised $28.5M from investors
such as Sequoia Capital, Tencent, New Margin, etc.

Our Services

VoxelCloud offers its service through three channels. First, by providing service to
healthcare providers through cloud-computing solutions directly integrated in the
clinical workflow. Second, by partnering with established vendors to provide AI as a
service. Third, by building a platform to enable third party developers to develop their
own applications through the VoxelCloud medical knowledge graph API.

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Team

Our Team

VoxelCloud was founded by experts and scholars from the leading institutions including
University of California, Los Angeles, Cedars-Sinai Medical Center, Mayo Clinic,
Carnegie Melon University, and Arizona State University.

Join VoxelCloud

VoxelCloud develops computer-aided detection systems for detecting and diagnosing various
diseases ranging from cardiovascular and lung diseases to eye diseases. Our solutions are based
on the state-of-the-art computer vision, deep learning and artificial intelligence technology.

Our rapidly growing team consists of research scientists and software engineers from leading
institutions. We are currently recruiting talents and we offer competitive salary for both
full-time and internship positions. Please send your resume to hr@voxelcloud.io to apply.

Our solutions are based on cloud computing technology. With just a browser,
doctors can get image visualization and quantified insights. The solution is
seamless integrated with existing clinical workflow.

Applicable Insights

We transform large amount of multi-source data into outcome-driven, evidence
based clinical insights that assist doctors to make informed clinical decisions
efficiently.